"Contains numerous simple examples and illustrative diagrams....For anyone seeking information about eigenvalue inclusion theorems, this book will be a great reference." --Mathematical Reviews
This book studies the original results, and their extensions, of the Russian mathematician S.A. GerSgorin who wrote a seminal paper in 1931 on how to easily obtain estimates of all n eigenvalues (characteristic values) of any given n-by-n complex matrix.
This book studies the original results, and their extensions, of the Russian mathematician S.A. GerSgorin who wrote a seminal paper in 1931 on how to easily obtain estimates of all n eigenvalues (characteristic values) of any given n-by-n complex matrix.
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From the reviews: "This book is an extremely detailed account of eigenvalue inclusion theorems, starting with the basic GerSgorin disk theorem ... . One of the most pleasing features of the book is what Varga calls the first recurring theme: every eigenvalue inclusion theorem has a corresponding nonsingularity theorem. ... contains numerous simple examples and illustrative diagrams, and everything is explained in great detail. ... For anyone seeking information about eigenvalue inclusion theorems, this book will be a great reference." (David Scott Watkins, Mathematical Reviews, 2005h) "The monograph presents a survey of results about spectrum localization for matrices, beginning with the first GerSgorin's eigenvalue inclusion result ... . This book contains many new and some unpublished results as a survey of many GerSgorin type results in the literature. The presented material is almost entirely self-contained with exercises which are useful both for graduate students in mathematics and physicists, engineers and computer scientists." (Boris V. Loginov, Zentralblatt MATH, 1057:8, 2005) "The new book of Varga contains, along with several new results, nearly all that has been discovered about eiegnvalue inclusions since 1931. ... One of the merits of this book is the information that it provides about Semën Aronovic Gersgorin ... . I like this book and recommend reading it." (L. Elsner, American Mathematical Monthly, Vol. 113, April, 2006)